2016
DOI: 10.1259/bjr.20150200
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Nanoscale radiation transport and clinical beam modeling for gold nanoparticle dose enhanced radiotherapy (GNPT) using X-rays

Abstract: Cite this article as: Zygmanski P, Sajo E. Nanoscale radiation transport and clinical beam modeling for gold nanoparticle dose enhanced radiotherapy (GNPT) using X-rays. Br J Radiol 2016; 89: 20150200. REVIEW ARTICLENanoscale radiation transport and clinical beam modeling for gold nanoparticle dose enhanced radiotherapy (GNPT) using X-rays ABSTRACTWe review radiation transport and clinical beam modelling for gold nanoparticle dose-enhanced radiotherapy using X-rays. We focus on the nanoscale radiation transpo… Show more

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Cited by 64 publications
(62 citation statements)
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References 74 publications
(137 reference statements)
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“…These observations support the use of CH codes and ∼1 keV transport cutoffs in GNPT scenarios in which energy deposition need not be resolved on nm length scales (40 nm range of 1 keV electron in water) and when self‐absorption of sub‐1 keV electrons within GNPs is relatively unimportant. While use of such CH codes and 1 keV transport cutoffs enhance simulation efficiency, thus making simulations possible with available computing power, some GNPT applications require consideration of electron transport to lower energies and event‐by‐event simulation of electron transport (with various associated challenges). These applications include quantification of energy deposition with ~nm resolution in the immediate vicinity of GNPs toward understanding possible considerable DEF variability on nm length scales …”
Section: Discussionmentioning
confidence: 99%
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“…These observations support the use of CH codes and ∼1 keV transport cutoffs in GNPT scenarios in which energy deposition need not be resolved on nm length scales (40 nm range of 1 keV electron in water) and when self‐absorption of sub‐1 keV electrons within GNPs is relatively unimportant. While use of such CH codes and 1 keV transport cutoffs enhance simulation efficiency, thus making simulations possible with available computing power, some GNPT applications require consideration of electron transport to lower energies and event‐by‐event simulation of electron transport (with various associated challenges). These applications include quantification of energy deposition with ~nm resolution in the immediate vicinity of GNPs toward understanding possible considerable DEF variability on nm length scales …”
Section: Discussionmentioning
confidence: 99%
“…In their recent review article, Zygmanski and Sajo emphasized the importance of multiscale considerations for GNPT. The relevant discussion regarding simulation mainly focused on a two‐stage approach, for example, first calculating a phase space within an efficient macroscopic phantom and then creating a microbeam in a more detailed microscopic phantom (see Ref . and references therein).…”
Section: Discussionmentioning
confidence: 99%
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“…For example, the gold (Z = 79) has much stronger photoelectric effect than that of soft tissues (average Z = 7.4). [31][32][33][34][35][36][37][38][39] Au loaded polymeric nanocapsules [40][41][42][43] Au nanomolecules [40,44,45] Active targeting Au nanoparticles [44,[46][47][48][49][50] Rare earth element Gadolinium oxide; Gd doped carbon dots; Gd doped calcium phosphate [51][52][53][54] Upconversion nanoparticles (e.g. Such electron rearrangement in atom orbits would generate excess energy that released either as fluorescent photons or Auger electrons, the latter of which traveling through much shorter distances (typically ≈10 nm) are able to produce high ionization effects in local areas.…”
Section: Mechanisms Of Radio-sensitization With High-z Elementsmentioning
confidence: 99%
“…Macroscopic regions with containing nanoparticle agents enhance energy deposition both at macroscopic (tissue/organ) and nanoscopic (cellular) levels (Zygmanski and Sajo 2016, McMahon et al 2011). A full detailed analysis of the dose distribution around AuNP would require nanoscopic voxels and knowledge of location of nanoparticles or nanoparticle clusters with respect to cellular targets (cancer cells or cancer microvasculature.)…”
Section: Discussionmentioning
confidence: 99%